Data & Full-Stack Engineer · Float Infinity · Sydney
Louis Miguel Bernal, Data Engineer and Full-Stack Software Engineer.

Built to scale,run in production.

Data Engineer, Full-Stack Software Engineer and Quant at Float Infinity. I build trading and machine-learning systems end to end: market-data pipelines, multi-factor models and backtests, plus the FastAPI services and Next.js interfaces that put them in front of traders. Tested, observable, production-safe.

Engineered on a production cloud stack
AzuredbtAirflowDockerPostgreSQLPythonFastAPINext.js
About

The shape of the work.

IMPACT · TO DATEICAI 2026 · PRESENTER
0+Projects shipped
0×Delivered early
0.0M+Records reached
0+Teams collaborated
Production StackIDEA → PRODUCTION
PythondbtAirflowSQLFastAPINext.js
Impact

I'm a Data Engineer, Full-Stack Software Engineer and Quant at Float Infinity (Sydney). I build trading and machine-learning systems end to end: Azure ELT and Airflow-orchestrated market-data pipelines, multi-factor models and backtests, and the FastAPI services and Next.js/React frontends that put them in front of traders — including an ASX options analytics platform I owned from ingestion through to the charting UI.

That production discipline runs through everything I ship: I've built a multi-venue derivatives trading platform (Nexus) and an AI integration layer for the Bloomberg Terminal, and presented my research at ICAI 2026. The throughline is the same: models and pipelines that are empirically justified, tested, and safe to run in production, not just notebooks that happened to backtest well.

I work with Float Infinity's Sydney team, and graduated from De La Salle University with a 3.83 GPA after four years on the Dean's List. Before that I spent four years freelancing, shipping 40+ responsive sites and web apps end to end. I care more about whether a system holds up under real conditions than whether it looks clever on a slide.

Work Experience

Built in production.

Data engineering, full-stack software, and quant work running in production today, on top of four years shipping client web apps. The roles, and what each one delivered.

Float Infinity

Data Engineer · Full-Stack Software Engineer & Quant

CURRENT
WORKFloat Infinity · Sydney, AU
Mar 2026 – Present

Architected an Azure telemetry and reporting platform on Airflow-orchestrated REST pipelines, and production ELT pairing SQLAlchemy ingestion with version-controlled dbt models across 4+ enterprise platforms. Built an ASX options analytics platform end to end: a provider-agnostic FastAPI market-data service writing idempotent upserts into PostgreSQL, exposed through an authenticated REST API, with the Next.js/React candlestick and watchlist frontend on top. Trained the NLP/ML trading models behind it across 15+ instruments, engineering 50+ features across technical, sentiment, and macro layers.

72%Directional Accuracy
1.8Backtested Sharpe
99.9%System Availability
3×Query Performance
50%Faster Incident Detection
65%Less Data Redundancy
PythonAzureAirflowdbtFastAPIPostgreSQLNext.jsReactNLPXGBoostSQL
PASIA

Data Analyst

WORKPASIA · Procurement and Supply Institute of Asia
Jun 2025 – Aug 2025

Automated large scale data preprocessing and SQL ETL for over 1 million procurement and contract records, turning stale manual reporting into automated daily business intelligence stakeholders could act on.

1M+Records Processed
85%Less Manual Effort
99%Cross-Dept Consistency
PythonSQLScikit-learnPandasPower BIExcel
CSIT

Director · Programming & Creatives

ORGCSIT Program Council, DLSU-D
2022 – 2025

Led the programming and creatives committee, directing technical initiatives, event development, and creative direction, alongside an executive role in finance and public relations.

DirectorProgramming & Creatives
Exec DirFinance & PR
LeadershipProject MgmtCreative Direction

Full-Stack Web Developer & Data Analyst

WORKIndependent · Remote
Sep 2022 – Feb 2026

Designed and shipped 40+ responsive websites and web applications for small business and academic clients in JavaScript, React, and Next.js, owning each project from requirements gathering through production deployment. Delivered the Power BI and Excel dashboards alongside them, with repeatable Python data-cleaning and EDA workflows standardizing ingestion across client datasets.

40+Sites & Apps Shipped
~40%Less Reporting Time
End-to-EndRequirements → Deploy
JavaScriptReactNext.jsPythonPower BIExcel
DLSU-D

BS Computer Science · Intelligent Systems

EDUDe La Salle University Dasmariñas
2022 – 2026

Bachelor of Science in Computer Science, Intelligent Systems track. A machine learning and data science foundation carried with distinction every year.

3.83GPA / 4.0
×4Dean's Lister
Machine LearningAIData ScienceDean's Lister
Case Studies

Selected work.

Five projects, each broken down into problem, approach, stack, and measured outcome: the shape of every production write-up.

Featured five · open a case study

Computer Vision · Mobile

VisorAI

YOLOv11-powered mobile app for real-time detection of LTO road markings with auditory feedback for drivers and pedestrians.

YOLOv11PythonMobileComputer Vision
Read case study
2026
DeepS&P
GiftxAI
XGE
QuantMaven

Archive · 38 repos

View all on GitHub
Signa

Real-time traffic sign detection app using computer vision for driver safety alerts.

Computer VisionPythonOpenCV
Face Recognition SVM

Support vector machine-based face recognition system with image preprocessing.

SVMOpenCVScikit-learn
Census Income ML

Advanced ML workflow on adult income data with Optuna hyperparameter tuning.

OptunaScikit-learnEDA
NLP Emotion

Emotion response NLP program for sentiment and emotion classification.

NLPJupyterTransformers
Twitter Sentiment

Sentiment analysis pipeline on Twitter/X data with NLP techniques.

NLPNLTKPandas
Customer Churn ML

ML model predicting customer churn with XGBoost and feature engineering.

XGBoostSklearnEDA
1 / 2

Where I sit on the stack.

Data engineering and full-stack software, end to end: ingestion, warehousing, and orchestration, then the APIs, ML, and interfaces that turn it into something people use.

Data Engineering

Ingest · warehouse · orchestrate

Production data pipelines: API and database ingestion, dbt modeling, and Airflow orchestration.

  • Python
  • dbt
  • Airflow
  • Pandas
  • PostgreSQL
  • SQLAlchemy

Cloud & Orchestration

Ship · observe · scale

The rails data runs on: Azure, containerized jobs, and reliable build-test-ship loops.

  • Azure
  • Docker
  • GitHub
  • Git
  • Vercel
  • MLflow

AI / Machine Learning

Modeling · training · inference

The analytics layer on top of the pipeline: from feature engineering to live inference and evaluation.

  • PyTorch
  • Scikit-learn
  • XGBoost
  • LangChain
  • Ollama
  • Jupyter

Full-Stack & Interfaces

APIs · apps · dashboards

The product layer: authenticated FastAPI services behind Next.js/React apps, plus the dashboards and reporting stakeholders live in.

  • React
  • Next.js
  • TypeScript
  • Power BI
  • Plotly
  • Tableau
Also Worked With
20 TOOLS
FastAPIREST APIsJavaC++LinuxTensorFlowFAISSGroqHuggingFaceLSTMLightGBMCatBoostKMeansPCAt-SNEUMAPMonte CarloSeabornMatplotlibExcel
Credentials

Verified, on paper.

A focused list: agentic AI with LangGraph, Deep Learning Specialization, applied simulations, analytics tracks. Click a card to view the certificate.

LangChain
2026
LangChain

Project: Ambient Agents with LangGraph

ID · dw7or7byfsVerify
International Conference on AI (ICAI)
Feb 2026
International Conference on AI (ICAI)

Research Presentation

··
DeepLearning.AI
2025
DeepLearning.AI

Deep Learning Specialization

ID · 5DCEBTE0WLVerify
DeepLearning.AI
2025
DeepLearning.AI

Sequence Models

ID · AGSTIN6MFWVerify
DeepLearning.AI
2025
DeepLearning.AI

Convolutional Neural Networks

ID · VOPC3983POVerify
DeepLearning.AI
2025
DeepLearning.AI

Improving Deep Neural Networks

··
DeepLearning.AI
2025
DeepLearning.AI

Neural Networks and Deep Learning

ID · 3520567IBKVerify
DeepLearning.AI
2025
DeepLearning.AI

Structuring ML Projects

ID · PW7B3FJBJ8Verify
De La Salle University
2024
De La Salle University

Data Science Workshop 2024

··
Forage
2024
Forage

Accenture Data Analytics & Visualization

ID · hHvNNDaQem·
freeCodeCamp
2023
freeCodeCamp

Data Analysis with Python

··
Great Learning
2023
Great Learning

Data Analytics using Excel

Great Learning
2023
Great Learning

Introduction to Analytics

Google
2023
Google

Google Analytics

Contact

Open desk.

Email is the fastest line. Response within 24 hours.

Direct lines

Available for new opportunities
Louis Miguel Bernal© 2026